Advances in Web Mining and Web Usage Analysis: 9th - download pdf or read online

By Haizheng Zhang, Myra Spiliopoulou, Bamshad Mobasher, C. Lee Giles, Andrew McCallum, Olfa Nasraoui, Jaideep Srivastava, John Yen

ISBN-10: 3642005276

ISBN-13: 9783642005275

This booklet constitutes the completely refereed post-workshop court cases of the ninth foreign Workshop on Mining net information, WEBKDD 2007, and the first foreign Workshop on Social community research, SNA-KDD 2007, together held in St. Jose, CA, united states in August 2007 together with the thirteenth ACM SIGKDD foreign convention on wisdom Discovery and knowledge Mining, KDD 2007.

The eight revised complete papers provided including a close preface went via rounds of reviewing and development and have been rigorously chosen from 23 preliminary submisssions. the improved papers tackle all present matters in net mining and social community research, together with conventional net and semantic internet functions, the rising functions of the net as a social medium, in addition to social community modeling and analysis.

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Additional info for Advances in Web Mining and Web Usage Analysis: 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop

Sample text

Specifically, we examine whether it is possible to identify characteristics of such discussions that are more likely to lead to innovative ideas as identified by the Jam organizers. We demonstrate the social network structure of data and its time dependence, and discuss the results of both supervised and unsupervised learning applied to this data. 1 Introduction Social network analysis is the mapping and measuring of relationships and flows between people, groups, organizations or other information/knowledge processing entities.

Users with social scores from 80100 are placed on the top level, users with social scores from 60-80 are placed on the next level down, etc. If the weights are chosen with this scale division in mind, only a small percentage of the users will maintain high enough social scores to inhabit the upper levels, so a tree-like organizational structure will be manifested. Different, more sophisticated, ranking and grouping algorithms have been considered and will be implemented, and will be discussed in the following section on future work.

1348557 H. Zhang et al. ): WebKDD/SNA-KDD 2007, LNCS 5439, pp. 21–39, 2009. c Springer-Verlag Berlin Heidelberg 2009 22 W. Gryc et al. IBM recently introduced an online information forum or “Innovation Jam” [9,13] where employees (and, in some cases, external participants) are encouraged to share their ideas on pre-selected topics of broad interest. Analysis of the information collected in such forums requires a number of advanced data processing steps including extraction of dominant, recurring themes and ultimately characterization of the degree of innovation represented by the various discussion threads created in the forum.

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Advances in Web Mining and Web Usage Analysis: 9th International Workshop on Knowledge Discovery on the Web, WebKDD 2007, and 1st International Workshop by Haizheng Zhang, Myra Spiliopoulou, Bamshad Mobasher, C. Lee Giles, Andrew McCallum, Olfa Nasraoui, Jaideep Srivastava, John Yen


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